A framework for the evaluation of autoregressive code generation language models.
Deepeval is a framework for testing and evaluating large language model applications. It provides a suite of tools for executing automated regression tests, validating model output quality against defined standards, and tracing the execution of complex agent workflows. By integrating these capabilities into development pipelines, the platform ensures consistent performance and reliability throughout the software lifecycle. The platform distinguishes itself through its focus on programmatic validation and observability. It utilizes secondary language models to score output quality and employs
Ragas is an evaluation framework and performance benchmark designed to quantify the quality of retrieval augmented generation pipelines. It functions as an application optimizer to identify bottlenecks in language model workflows using automated metrics and model-based scoring. The framework includes a system for generating synthetic datasets that mimic production scenarios and edge cases to create realistic test cases. It enables reference-free assessment, allowing the evaluation of response quality by analyzing grounding in the provided context without requiring gold-standard labels. The s
Evaluation and Tracking for LLM Experiments and AI Agents
This is a repo I use to run human-eval on code models, adjust as needed. Some scripts were adjusted from wizardcoder repo (process_eval.py). The evaluation code is duplicated in several files, mostly to handle edge cases around model tokenizing and loading (will clean it up).
Las características principales de abacaj/code-eval son: Evaluation Frameworks.
Las alternativas de código abierto para abacaj/code-eval incluyen: bigcode-project/bigcode-evaluation-harness — A framework for the evaluation of autoregressive code generation language models. confident-ai/deepeval — Deepeval is a framework for testing and evaluating large language model applications. It provides a suite of tools for… explodinggradients/ragas — Ragas is an evaluation framework and performance benchmark designed to quantify the quality of retrieval augmented… truera/trulens — Evaluation and Tracking for LLM Experiments and AI Agents. uptrain-ai/uptrain — UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for…